In the paper we construct a new seasonal adjustment method of time series on the basis of the structural time series model .

建立一种基于结构 时间 序列 模型的新的时间序列季节调整方法。

The Application of the Prediction of the Reported Weekly Incidence of Bacillary Dysentery in Chaoyang District Using the Time Series Model

时间 序列 分解 法在北京市朝阳区细菌性痢疾周报告发病率预测中的应用

Storage Reliability Analysis of Explosive Initiator Using Time Series Model

基于 时序 模型的火工品贮存可靠性分析方法

We took more attention on time series model and dynamics model .

我们更加重点的讨论了 时间 序列 模型和动力系统模型。

Research on Chemical Equipment Forecast Based on Time Series Model

基于 时间 序列 模型的化工设备状态的预测研究

We take time series model AR ( 1 ) and MA ( 1 ) as examples .

以 时间 序列 模型AR（1）和MA（1）为例进行考虑。

A simple and practical scheme is presented for developing a bilinear time series model ( BM ) .

提出了建立 双线性 模型（BM）的一套简便实用的方案。

Based on high order statistics ( HOS ) method a time series model for the spot speeds of successive vehicles on a road section is developed .

基于高阶统计量方法，建立连续车流地点车速的 时间 序列 分析 模型。

Application of ARMA Time Series Model in Sale Forecasting

ARMA 时间 序列 模型在销售预测中的应用

The Application of Time Series Model in Forecasting the Population of Changsha

组合 时间 序列 方法在长沙人口预测中的应用

Meta-association Rule Mining for Dynamic Association Rule Based on Time Series Model

基于 时间 序列 模型的动态关联规则元规则挖掘

Establishment and Forecast on Non-Stationary Time Series Model of the Per-capita GDP of Zhejiang Province

浙江省人均GDP 时间 序列 模型的建立与预测

Analysis and Forecast About Mineral Product Price Based on Time Series Model

基于 时间 序列 模型的矿产品价格分析与预测

This worked out forecasting study on certain telecom products by SPSS statistic software with AR1MA time series model .

本文通过AR1MA 时间 序列 模型，利用SPSS统计软件对某电信产品收入进行了预测研究。

The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow .

大坝渗流监测分析是 大坝安全监控的重要内容，预测分析的难点之一在于 渗流监测数据往往具有复杂的非线性特点。

Time Series Model Based on the Data Mining Business Intelligence

基于 时间 序列 模型数据挖掘的商务智能

We can use linear time series model such as ARMA model for decomposition of interest rates .

利率构成中预期和未预期部分的分解，可以采用线性 时间 序列 模型：ARMA模型，对其进行刻画。

There are many time series problems in the actual production system . To study system structure and regularity we need to build time series model .

实际生产系统中存在大量时间序列问题，为了研究系统的结构和规律，我们需要建立 时间 序列 模型，对其进行 预测 和 分析。

The Chinese population time series models appeared but the Guizhou population time series model have not been researched .

对全国人口总量时间序列模型，已有很多人进行了一定的研究，对贵州省人口总量 时间 序列 模型还未有人研究。

On the Application of Oil Analysis and Time Series Model in Type Approval of Marine Diesel Engine

油液监测的 时序 模型在船舶柴油机型式认可中的应用研究

Telecommunications services over the traditional forecasting models for statistical regression model and time series model .

电信业务的传统预测模型多为统计回归模型和 时间 序列 模型。

Objective Aim at the influence factors of the mastacarcinoma patients hospitalized costs the more reasonable cost time series model will be investigated and established .

目的针对乳腺癌患者住院医疗费用的影响因素，探讨更为合理的费用 时序 模型，为卫生管理部门和医院制定相关政策提供科学依据。

This paper fits a period of security time series with both neural network and time series model .

本文深入分析了传统的 时间 序列 模型和神经网络 模型，并对一定时期内的证券时间序列的拟合效果进行了比较。

This conclusion will be guidance and practicality in theory analyzing for time series model in future .

这一结论在今后 时间 序列 模型的理论分析和实际应用中具有指导性和实用性。

Based on the previous work on the road time series model a further development toward the3D road simulation by using double auto-variable time series method was made .

基于单自变量时序道路模拟原理与方法的拓展，用双自变量 时序 模型对三维随机路面进行刻画。

By the relationship of Laplace transform and Z-transform the ARMA time series model for this system is obtained .

应用拉氏变换和Z变换间关系，得到系统的ARMA 时间 序列 模型。

Analysis and Forecast on China 's Pork Price Based on Periodicity and Heteroscedasticity Time Series Model

基于周期异方差 时间 序列 模型的中国猪肉价格分析与预测

AR model is wide used time series model .

时间 序列 模型主要是自回归模型。

The Stochastic Volatility models ( SV model ) is a kind of time series model which can reflect fluctuation that can not be observed directly .

随机波动（SV）模型是一种重要的具有隐性波动的 时间 序列 模型。